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dc.contributor.authorBuus, R
dc.contributor.authorYeo, B
dc.contributor.authorBrentnall, AR
dc.contributor.authorKlintman, M
dc.contributor.authorCheang, MCU
dc.contributor.authorKhabra, K
dc.contributor.authorSestak, I
dc.contributor.authorGao, Q
dc.contributor.authorCuzick, J
dc.contributor.authorDowsett, M
dc.date.accessioned2019-01-29T12:46:47Z
dc.date.issued2018-09-04
dc.identifier.citationBreast cancer research : BCR, 2018, 20 (1), pp. 103 - ?
dc.identifier.issn1465-5411
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3033
dc.identifier.eissn1465-542X
dc.identifier.doi10.1186/s13058-018-1040-9
dc.description.abstractBackground Several prognostic signatures for early oestrogen receptor-positive (ER+) breast cancer have been established with a 10-year follow-up. We tested the hypothesis that signatures optimised for 0-5-year and 5-10-year follow-up separately are more prognostic than a single signature optimised for 10 years.Methods Genes previously identified as prognostic or associated with endocrine resistance were tested in publicly available microarray data set using Cox regression of 747 ER+/HER2- samples from post-menopausal patients treated with 5 years of endocrine therapy. RNA expression of the selected genes was assayed in primary ER+/HER2- tumours from 948 post-menopausal patients treated with 5 years of anastrozole or tamoxifen in the TransATAC cohort. Prognostic signatures for 0-10, 0-5 and 5-10 years were derived using a penalised Cox regression (elastic net). Signature comparison was performed with likelihood ratio statistics. Validation was done by a case-control (POLAR) study in 422 samples derived from a cohort of 1449.Results Ninety-three genes were selected by the modelling of microarray data; 63 of these were significantly prognostic in TransATAC, most similarly across each time period. Contrary to our hypothesis, the derived early and late signatures were not significantly more prognostic than the 18-gene 10-year signature. The 18-gene 10-year signature was internally validated in the TransATAC validation set, showing prognostic information similar to that of Oncotype DX Recurrence Score, PAM50 risk of recurrence score, Breast Cancer Index and IHC4 (score based on four IHC markers), as well as in the external POLAR case-control set.Conclusions The derived 10-year signature predicts risk of metastasis in patients with ER+/HER2- breast cancer similar to commercial signatures. The hypothesis that early and late prognostic signatures are significantly more informative than a single signature was rejected.
dc.formatElectronic
dc.format.extent103 - ?
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectBreast Neoplasms
dc.subjectNeoplasm Recurrence, Local
dc.subjectTamoxifen
dc.subjectReceptor, erbB-2
dc.subjectReceptors, Estrogen
dc.subjectAntineoplastic Agents, Hormonal
dc.subjectPrognosis
dc.subjectCase-Control Studies
dc.subjectCohort Studies
dc.subjectGene Expression Profiling
dc.subjectGene Expression Regulation, Neoplastic
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectMiddle Aged
dc.subjectFemale
dc.subjectAnastrozole
dc.titleNovel 18-gene signature for predicting relapse in ER-positive, HER2-negative breast cancer.
dc.typeOther
rioxxterms.versionofrecord10.1186/s13058-018-1040-9
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2018-09-04
rioxxterms.typeOther
dc.relation.isPartOfBreast cancer research : BCR
pubs.declined2017-12-18T15:34:12.811+0000
pubs.issue1
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Genomic Analysis – Clinical Trials
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology/Endocrinology (hon.)
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Genomic Analysis – Clinical Trials
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Endocrinology/Endocrinology (hon.)
pubs.publication-statusPublished
pubs.volume20
pubs.embargo.termsNot known
icr.researchteamGenomic Analysis – Clinical Trialsen_US
icr.researchteamEndocrinologyen_US
dc.contributor.icrauthorCheang, Chon
dc.contributor.icrauthorDowsett, Mitch
dc.contributor.icrauthorGao, Qiong


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